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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 7284
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    INDEX
    Explanations

    dates presented in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    time references and chronological details in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    notations
    -0.97
     offsets
    -0.75
    itto
    -0.71
    auer
    -0.70
    eries
    -0.69
    inventoryQuantity
    -0.68
    agos
    -0.67
    helps
    -0.66
    =-=-=-=-
    -0.66
    6666
    -0.64
    POSITIVE LOGITS
     awoke
    0.94
     fateful
    0.84
     awakened
    0.78
     awoken
    0.78
     wakes
    0.76
     woke
    0.76
     suddenly
    0.76
     awake
    0.72
     murdered
    0.71
     secretly
    0.71
    Activations Density 0.739%

    No Known Activations